Fast kernel generalized discriminative common vectors for feature extraction
type: Item
instance of: scholarly article
title: Fast kernel generalized discriminative common vectors for feature extraction
zbMATH Open document ID: 1420.94012
author: Katerine Diaz-Chito
author: Aura Hernández-Sabaté
author: Marçal Rusiñol
author: Francesc J. Ferri
author: Jesús Martínez-del-Rincón
published in: Journal of Mathematical Imaging and Vision
publication date: 2018-06-01T00:00:00Z
full work available at URL: fast-kernel-generalized-discriminative-common-vectors-for-feature-extraction(fd54a9fe-ab4d-4708-8272-79abb41caca1).html
Mathematics Subject Classification ID: 94A08
Mathematics Subject Classification ID: 62H30
zbMATH DE Number: 6880068
zbMATH Keywords: nonlinear feature extraction
zbMATH Keywords: kernel discriminative common vectors
zbMATH Keywords: kernel trick
zbMATH Keywords: nonlinear projection trick
zbMATH Keywords: computational efficiency
Wikidata QID: Q58761224
describes a project that uses: PRTools
describes a project that uses: COIL-100
describes a project that uses: AR face
MaRDI profile type: Publication
OpenAlex ID: W2755863175
cites work: Q4536567
cites work: Q3998716
cites work: An introduction to support vector machines and other kernel-based learning methods.
cites work: Classification, Parameter Estimation and State Estimation
DBLP publication ID: journals/jmiv/Diaz-ChitoRHRF18
DOI: 10.1007/S10851-017-0771-Z
description: scientific article; zbMATH DE number 6880068